General and specific responsiveness of the amygdala during explicit emotion recognition in females and males

<p>Abstract</p> <p>Background</p> <p>The ability to recognize emotions in facial expressions relies on an extensive neural network with the amygdala as the key node as has typically been demonstrated for the processing of fearful stimuli. A sufficient characterization of the factors influencing and modulating amygdala function, however, has not been reached now. Due to lacking or diverging results on its involvement in recognizing all or only certain negative emotions, the influence of gender or ethnicity is still under debate.</p> <p>This high-resolution fMRI study addresses some of the relevant parameters, such as emotional valence, gender and poser ethnicity on amygdala activation during facial emotion recognition in 50 Caucasian subjects. Stimuli were color photographs of emotional Caucasian and African American faces.</p> <p>Results</p> <p>Bilateral amygdala activation was obtained to all emotional expressions (anger, disgust, fear, happy, and sad) and neutral faces across all subjects. However, only in males a significant correlation of amygdala activation and behavioral response to fearful stimuli was observed, indicating higher amygdala responses with better fear recognition, thus pointing to subtle gender differences. No significant influence of poser ethnicity on amygdala activation occurred, but analysis of recognition accuracy revealed a significant impact of poser ethnicity that was emotion-dependent.</p> <p>Conclusion</p> <p>Applying high-resolution fMRI while subjects were performing an explicit emotion recognition task revealed bilateral amygdala activation to all emotions presented and neutral expressions. This mechanism seems to operate similarly in healthy females and males and for both in-group and out-group ethnicities. Our results support the assumption that an intact amygdala response is fundamental in the processing of these salient stimuli due to its relevance detecting function.</p

Секрет влажных салфеток

Converging evidence has accumulated that menstrual cycle and thus hormonal levels can affect emotional behavior, in particular facial emotion recognition. Here we explored the association of ovarian hormone levels and amygdala activation during an explicit emotion recognition task in two groups of healthy young females: one group was measured while in their follicular phase (n = 11) and the other during their luteal phase (n = 11). Using a 3T scanner in combination with a protocol specifically optimized to reliably detect amygdala activation we found significantly stronger amygdala activation in females during their follicular phase. Also, emotion recognition performance was significantly better in the follicular phase. We observed significant negative correlations between progesterone levels and amygdala response to fearful, sad and neutral faces, further supporting a significant modulation of behavior and neural response by hormonal changes during the menstrual cycle. From an evolutionary point of view this significant influence of ovarian hormone level on emotion processing and an important neural correlate, the amygdala, may enable a higher social sensitivity in females during their follicular phase, thus facilitating socio-emotional behavior (and social interaction) which may possibly facilitate mating behavior as well

Identification and functional characterization of novel xylose transporters from the cell factories Aspergillus niger and Trichoderma reesei

Background: Global climate change and fossil fuels limitations have boosted the demand for robust and efficient microbial factories for the manufacturing of bio-based products from renewable feedstocks. In this regard, efforts have been done to enhance the enzyme-secreting ability of lignocellulose-degrading fungi, aiming to improve protein yields while taking advantage of their ability to use lignocellulosic feedstocks. Access to sugars in complex polysaccharides depends not only on their release by specific hydrolytic enzymes, but also on the presence of transporters capable of effectively transporting the constituent sugars into the cell. This study aims to identify and characterize xylose transporters from Aspergillus Niger and Trichoderma reesei, two fungi that have been industrially exploited for decades for the production of lignocellulose-degrading hydrolytic enzymes. Results: A hidden Markov model for the identification of xylose transporters was developed and used to analyze the A. Niger and T. reesei in silico proteomes, yielding a list of candidate xylose transporters. From this list, three A. Niger (XltA, XltB and XltC) and three T. reesei (Str1, Str2 and Str3) transporters were selected, functionally validated and biochemically characterized through their expression in a Saccharomyces cerevisiae hexose transport null mutant, engineered to be able to metabolize xylose but unable to transport this sugar. All six transporters were able to support growth of the engineered yeast on xylose but varied in affinities and efficiencies in the uptake of the pentose. Amino acid sequence analysis of the selected transporters showed the presence of specific residues and motifs recently associated to xylose transporters. Transcriptional analysis of A. Niger and T. reesei showed that XltA and Str1 were specifically induced by xylose and dependent on the XlnR/Xyr1 regulators, signifying a biological role for these transporters in xylose utilization. Conclusions: This study revealed the existence of a variety of xylose transporters in the cell factories A. Niger and T. reesei. The particular substrate specificity and biochemical properties displayed by A. Niger XltA and XltB suggested a possible biological role for these transporters in xylose uptake. New insights were also gained into the molecular mechanisms regulating the pentose utilization, at inducer uptake level, in these fungi. Analysis of the A. Niger and T. reesei predicted transportome with the newly developed hidden Markov model showed to be an efficient approach for the identification of new xylose transporting proteins.</p

In Vivo Study of the Sorbicillinoid Gene Cluster in Trichoderma reesei

Sorbicillinoids are a diverse group of yellow secondary metabolites that are produced by a range of not closely related ascomycetes, including Penicillium chrysogenum, Acremonium chrysogenum, and Trichoderma reesei. They share a similarity to the name-giving compound sorbicillin, a hexaketide. Previously, a conserved gene cluster containing two polyketide synthases has been identified as the source of sorbicillin, and a model for the biosynthesis of sorbicillin in P. chrysogenum has been proposed. In this study, we deleted the major genes of interest of the cluster in T. reesei, namely sor1, sor3, and sor4. Sor1 is the homolog of P. chrysogenum SorA, which is the first polyketide synthase of the proposed biosynthesis pathway. Sor3 is a flavin adenine dinucleotide (FAD)-dependent monooxygenase, and its homolog in P. chrysogenum, SorC, was shown to oxidize sorbicillin and 2′,3′-dihydrosorbicillin to sorbicillinol and 2′,3′-dihydrosorbicillinol, respectively, in vitro. Sor4 is an FAD/flavin mononucleotide-containing dehydrogenase with an unknown function. We measured the amounts of synthesized sorbicillinoids throughout growth and could verify the roles of Sor1 and Sor3 in vivo in T. reesei. In the absence of Sor4, two compounds annotated to dihydrosorbicillinol accumulate in the supernatant and only small amounts of sorbicillinol are synthesized. Therefore, we suggest extending the current biosynthesis model about Sor4 reducing 2′,3′-dihydrosorbicillin and 2′,3′-dihydrosorbicillinol to sorbicillinol and sorbicillinol, respectively. Sorbicillinol turned out to be the main chemical building block for most sorbicillinoids, including oxosorbicillinol, bisorbicillinol, and bisvertinolon. Further, we detected the sorbicillinol-dependent synthesis of 5-hydroxyvertinolide at early time points, which contradicts previous models for biosynthesis of 5-hydroxyvertinolide. Finally, we investigated whether sorbicillinoids from T. reesei have a growth limiting effect on the fungus itself or on plant pathogenic fungi or on pathogenic bacteria

Projektorientierter Unterricht zum Thema: Berechnung und Auslegung einer Kiiking Schaukel

In meiner Arbeit geht es darum, dass SchülerInnen einer HTL mit Hilfe von forschendem Lernen eine Kiiking Schaukel berechnen. Zu Beginn wird gemeinsam ein Fahrplan für das Projekt ausgearbeitet, nach dem dann vorgegangen wird. Schon bei der Erarbeitung des Fahrplans werden Hypothesen anhand eines Modells der Schaukel überprüft. Dieses Modell soll, wenn möglich, von den SchülerInnen konzipiert und gebaut werden. Eine beispielhafte Anleitung zum Bau des Modells ist in der Diplomarbeit enthalten. Es ist anzumerken, dass im Zuge dieser Arbeit nicht die gesamte Schaukel berechnet wird, da eine umfassende Berechnung und Auslegung den Rahmen sprengen würde. Meine Ausführungen beschränken sich darauf, das Herzstück der Schaukel, also die Achse, zu dimensionieren. Nachdem der Fahrplan erstellt ist und die SchülerInnen ein Grobkonzept zur Berechnung aufgestellt haben, muss zuerst die maximale Geschwindigkeit bestimmt werden. Die Überlegungen werden immer für zwei verschiedene Schaukelvarianten durchgespielt. Die erste Variante ist die einer klassischen Kiiking Schaukel. Die zweite Variante unterscheidet sich in der Bauweise dadurch, dass ein Gegengewicht montiert ist. Ein weiterer wichtiger Punkt in meiner Arbeit ist die Videoanalyse der Geschwindigkeit mit dem Tool Tracker. Somit kann die berechnete Geschwindigkeit mit der Realität verglichen werden, um daraus Rückschlüsse auf die reale Schaukel zu ziehen. Danach geht es an die Berechnung der wirkenden Kräfte, welche später zur Dimensionierung des Achsendurchmessers benötigt werden. Schließlich kommt man über die zulässige Spannung, welche von der Bauweise und vom Material abhängig ist, zum benötigten Durchmesser. Das Hauptaugenmerk wird in der Arbeit darauf gelegt, dass die Aufgabenstellungen möglichst offen sind und somit ein Spielraum für Kreativität und Fehler bleibt.eingereicht von Christian DerntlIn Zusammenarbeit mit Linz School of Education (LSEd)Universität Linz, Diplomarbeit, 2017(VLID)224641

Sex matters for the enhancement of cognitive training with transcranial direct current stimulation (tDCS)

Abstract Background Transcranial direct current stimulation (tDCS) can influence brain network activity and associated cognitive and behavioural functions. In addition to the extensive variety in stimulation parameters, numerous biological factors drive these effects, however these are yet poorly understood. Here, we investigate one of the major biological factors by focusing on sex-dependent effects of tDCS on a challenging cognitive control task (adaptive paced auditory serial addition task [PASAT]) in healthy humans. Methods This sex-specific re-analysis was performed on data of 163 subjects who underwent a 2-week cognitive control training (6 sessions in total). Subjects received either verum (anodal/cathodal) or sham tDCS. Electrodes were placed over the left or right dorsolateral prefrontal cortex and the respective contralateral deltoid muscle. Cognitive control was measured as performance in the PASAT and was analysed in respect to stimulation conditions (sham, anodal, cathodal) and sex. Results Regardless of stimulation condition, performance gains between the sexes were higher in females compared to males (p = 0.0038). Female’s performance during anodal tDCS exceeded male’s (p = 0.0070), yet no effects were found for cathodal or sham tDCS. Moreover, in females we found a superior effect for anodal tDCS over sham stimulation (fanodal: p = 0.0354; fcathodal: p = 0.6181), but no such effect in males (manodal: p = 0.6882; mcathodal: p = 0.4822). Conclusions This study highlights the relevance of biological sex for the effects of tDCS on cognitive training. Thus, an increased attention to biological sex is advisable in future brain stimulation research to highlight and in consequence better understand potentially underlying sex-specific mechanisms. Considering biological sex will further advance customisation and individualisation of tDCS interventions. Trial registration ClinicalTrials.gov, NCT04108663

Gain dynamics in a heterogeneous terahertz quantum cascade laser

The gain recovery time of a heterogeneous active region terahertz quantum cascade laser is studied by terahertz-pump-terahertz-probe spectroscopy. The investigated active region, which is based on a bound-to-continuum optical transition with an optical phonon assisted extraction, exhibits a gain recovery time in the range of 34–50 ps dependent on the operation condition of the laser. The recovery time gets shorter for stronger pumping of the laser while the recovery dynamics slows down with increasing operation temperature. These results indicate the important role of the intracavity light intensity for the fast gain recovery.ISSN:0003-6951ISSN:1077-311